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Application of genetic algorithms in the design of an electrical potential of fractional order

dc.contributor.authorJesus, Isabel S.
dc.contributor.authorMachado, J. A. Tenreiro
dc.contributor.authorBarbosa, Ramiro S.
dc.date.accessioned2014-03-17T15:08:22Z
dc.date.available2014-03-17T15:08:22Z
dc.date.issued2011
dc.description.abstractFractional calculus (FC) is currently being applied in many areas of science and technology. In fact, this mathematical concept helps the researches to have a deeper insight about several phenomena that integer order models overlook. Genetic algorithms (GA) are an important tool to solve optimization problems that occur in engineering. This methodology applies the concepts that describe biological evolution to obtain optimal solution in many different applications. In this line of thought, in this work we use the FC and the GA concepts to implement the electrical fractional order potential. The performance of the GA scheme, and the convergence of the resulting approximation, are analyzed. The results are analyzed for different number of charges and several fractional orders.por
dc.identifier.doi10.1007/978-90-481-9884-9_32pt_PT
dc.identifier.isbn978-90-481-9883-2
dc.identifier.isbn978-90-481-9884-9
dc.identifier.urihttp://hdl.handle.net/10400.22/4202
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.ispartofseriesNonlinear Science and Complexity;
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-90-481-9884-9_32por
dc.titleApplication of genetic algorithms in the design of an electrical potential of fractional orderpor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage280por
oaire.citation.startPage273por
oaire.citation.titleNonlinear Science and Complexitypor
person.familyNameJesus
person.familyNameTenreiro Machado
person.familyNameBarbosa
person.givenNameIsabel S.
person.givenNameJ. A.
person.givenNameRamiro
person.identifier156328
person.identifier.ciencia-id131A-D722-8D60
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.ciencia-id9F1E-CA64-4C8B
person.identifier.orcid0000-0002-7545-5822
person.identifier.orcid0000-0003-4274-4879
person.identifier.orcid0000-0001-7410-8872
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id9333348500
person.identifier.scopus-author-id55989030100
person.identifier.scopus-author-id8582675300
rcaap.rightsopenAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublicatione7f8ed34-e3e4-49f5-815b-861c7f28936e
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublicationae867f98-4683-47cf-910d-16d5cd4517ba
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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